Mercurial > ift6266
annotate deep/crbm/mnist_crbm.py @ 618:14ba0120baff
review response changes
author | Yoshua Bengio <bengioy@iro.umontreal.ca> |
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date | Sun, 09 Jan 2011 14:13:23 -0500 |
parents | ed1c0830681e |
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rev | line source |
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1 #!/usr/bin/python |
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2 |
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3 import sys |
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4 import os, os.path |
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5 |
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6 # do this before importing custom modules |
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7 from mnist_config import * |
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8 |
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9 if not (len(sys.argv) > 1 and sys.argv[1] in \ |
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10 ('test_jobman_entrypoint', 'run_local')): |
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11 # in those cases don't use isolated code, use dev code |
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12 print "Running experiment isolation code" |
342 | 13 isolate_experiment() |
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14 |
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15 import numpy as N |
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16 |
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17 import theano |
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18 import theano.tensor as T |
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19 |
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20 from crbm import CRBM, ConvolutionParams |
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21 |
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22 import pylearn, pylearn.version |
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23 from pylearn.datasets import MNIST |
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24 from pylearn.io.image_tiling import tile_raster_images |
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25 |
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26 import Image |
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27 |
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28 from pylearn.io.seriestables import * |
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29 import tables |
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30 |
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31 import ift6266 |
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32 |
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33 import utils |
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34 |
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35 def setup_workdir(): |
343 | 36 if not os.path.exists(IMAGE_OUTPUT_DIR): |
37 os.mkdir(IMAGE_OUTPUT_DIR) | |
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38 if not os.path.exists(IMAGE_OUTPUT_DIR): |
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39 print "For some reason mkdir(IMAGE_OUTPUT_DIR) failed!" |
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40 sys.exit(1) |
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41 print "Created image output dir" |
343 | 42 elif os.path.isfile(IMAGE_OUTPUT_DIR): |
43 print "IMAGE_OUTPUT_DIR is not a directory!" | |
44 sys.exit(1) | |
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45 |
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46 #def filename_from_time(suffix): |
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47 # import datetime |
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48 # return str(datetime.datetime.now()) + suffix + ".png" |
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49 |
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50 def jobman_entrypoint(state, channel): |
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51 # record mercurial versions of each package |
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52 pylearn.version.record_versions(state,[theano,ift6266,pylearn]) |
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53 channel.save() |
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54 |
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55 setup_workdir() |
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56 |
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57 crbm = MnistCrbm(state) |
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58 crbm.train() |
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59 |
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60 return channel.COMPLETE |
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61 |
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62 class MnistCrbm(object): |
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63 def __init__(self, state): |
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64 self.state = state |
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65 |
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66 if TEST_CONFIG: |
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67 self.mnist = MNIST.first_1k() |
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68 print "Test config, so loaded MNIST first 1000" |
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69 else: |
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70 self.mnist = MNIST.full()#first_10k() |
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71 print "Loaded MNIST full" |
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72 |
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73 self.cp = ConvolutionParams( \ |
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74 num_filters=state.num_filters, |
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75 num_input_planes=1, |
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76 height_filters=state.filter_size, |
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77 width_filters=state.filter_size) |
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78 |
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79 self.image_size = (28,28) |
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80 |
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81 self.minibatch_size = state.minibatch_size |
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82 |
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83 self.lr = state.learning_rate |
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84 self.sparsity_lambda = state.sparsity_lambda |
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85 # about 1/num_filters, so only one filter active at a time |
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86 # 40 * 0.05 = ~2 filters active for any given pixel |
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87 self.sparsity_p = state.sparsity_p |
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88 |
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89 self.crbm = CRBM( \ |
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90 minibatch_size=self.minibatch_size, |
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91 image_size=self.image_size, |
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92 conv_params=self.cp, |
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93 learning_rate=self.lr, |
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94 sparsity_lambda=self.sparsity_lambda, |
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95 sparsity_p=self.sparsity_p) |
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96 |
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97 self.num_epochs = state.num_epochs |
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98 |
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99 self.init_series() |
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100 |
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101 def init_series(self): |
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102 series = {} |
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103 |
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104 basedir = os.getcwd() |
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105 |
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106 h5f = tables.openFile(os.path.join(basedir, "series.h5"), "w") |
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107 |
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108 cd_series_names = self.crbm.cd_return_desc |
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109 series['cd'] = \ |
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110 utils.get_accumulator_series_array( \ |
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111 h5f, 'cd', cd_series_names, |
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112 REDUCE_EVERY, |
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113 stdout_too=SERIES_STDOUT_TOO) |
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114 |
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115 sparsity_series_names = self.crbm.sparsity_return_desc |
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116 series['sparsity'] = \ |
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117 utils.get_accumulator_series_array( \ |
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118 h5f, 'sparsity', sparsity_series_names, |
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119 REDUCE_EVERY, |
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120 stdout_too=SERIES_STDOUT_TOO) |
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121 |
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122 # so first we create the names for each table, based on |
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123 # position of each param in the array |
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124 params_stdout = [] |
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125 if SERIES_STDOUT_TOO: |
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126 params_stdout = [StdoutAppendTarget()] |
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127 series['params'] = SharedParamsStatisticsWrapper( |
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128 new_group_name="params", |
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129 base_group="/", |
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130 arrays_names=['W','b_h','b_x'], |
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131 hdf5_file=h5f, |
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132 index_names=('epoch','minibatch'), |
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133 other_targets=params_stdout) |
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134 |
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135 self.series = series |
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136 |
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137 def train(self): |
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138 num_minibatches = len(self.mnist.train.x) / self.minibatch_size |
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139 |
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140 for epoch in xrange(self.num_epochs): |
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141 for mb_index in xrange(num_minibatches): |
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142 mb_x = self.mnist.train.x \ |
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143 [mb_index : mb_index+self.minibatch_size] |
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144 mb_x = mb_x.reshape((self.minibatch_size, 1, 28, 28)) |
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145 |
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146 #E_h = crbm.E_h_given_x_func(mb_x) |
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147 #print "Shape of E_h", E_h.shape |
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148 |
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149 cd_return = self.crbm.CD_step(mb_x) |
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150 sp_return = self.crbm.sparsity_step(mb_x) |
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151 |
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152 self.series['cd'].append( \ |
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153 (epoch, mb_index), cd_return) |
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154 self.series['sparsity'].append( \ |
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155 (epoch, mb_index), sp_return) |
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156 |
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157 total_idx = epoch*num_minibatches + mb_index |
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158 |
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159 if (total_idx+1) % REDUCE_EVERY == 0: |
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160 self.series['params'].append( \ |
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161 (epoch, mb_index), self.crbm.params) |
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162 |
339
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163 if total_idx % VISUALIZE_EVERY == 0: |
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164 self.visualize_gibbs_result(\ |
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165 mb_x, GIBBS_STEPS_IN_VIZ_CHAIN, |
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166 "gibbs_chain_"+str(epoch)+"_"+str(mb_index)) |
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167 self.visualize_gibbs_result(mb_x, 1, |
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168 "gibbs_1_"+str(epoch)+"_"+str(mb_index)) |
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169 self.visualize_filters( |
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170 "filters_"+str(epoch)+"_"+str(mb_index)) |
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171 if TEST_CONFIG: |
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172 # do a single epoch for cluster tests config |
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173 break |
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174 |
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175 if SAVE_PARAMS: |
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176 utils.save_params(self.crbm.params, "params.pkl") |
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177 |
339
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178 def visualize_gibbs_result(self, start_x, gibbs_steps, filename): |
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179 # Run minibatch_size chains for gibbs_steps |
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180 x_samples = None |
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181 if not start_x is None: |
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182 x_samples = self.crbm.gibbs_samples_from(start_x, gibbs_steps) |
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183 else: |
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184 x_samples = self.crbm.random_gibbs_samples(gibbs_steps) |
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185 x_samples = x_samples.reshape((self.minibatch_size, 28*28)) |
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186 |
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187 tile = tile_raster_images(x_samples, self.image_size, |
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188 (1, self.minibatch_size), output_pixel_vals=True) |
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189 |
339
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190 filepath = os.path.join(IMAGE_OUTPUT_DIR, filename+".png") |
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191 img = Image.fromarray(tile) |
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192 img.save(filepath) |
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193 |
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194 print "Result of running Gibbs", \ |
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195 gibbs_steps, "times outputed to", filepath |
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196 |
339
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197 def visualize_filters(self, filename): |
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198 cp = self.cp |
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199 |
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200 # filter size |
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201 fsz = (cp.height_filters, cp.width_filters) |
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202 tile_shape = (cp.num_filters, cp.num_input_planes) |
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203 |
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204 filters_flattened = self.crbm.W.value.reshape( |
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205 (tile_shape[0]*tile_shape[1], |
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206 fsz[0]*fsz[1])) |
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207 |
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208 tile = tile_raster_images(filters_flattened, fsz, |
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209 tile_shape, output_pixel_vals=True) |
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210 |
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211 filepath = os.path.join(IMAGE_OUTPUT_DIR, filename+".png") |
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212 img = Image.fromarray(tile) |
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213 img.save(filepath) |
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214 |
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215 print "Filters (as images) outputed to", filepath |
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216 |
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217 |
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218 |
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219 if __name__ == '__main__': |
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220 args = sys.argv[1:] |
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221 |
339
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222 if len(args) == 0: |
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223 print "Bad usage" |
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224 elif args[0] == 'jobman_insert': |
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225 utils.jobman_insert_job_vals(JOBDB, EXPERIMENT_PATH, JOB_VALS) |
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226 elif args[0] == 'test_jobman_entrypoint': |
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227 chanmock = DD({'COMPLETE':0,'save':(lambda:None)}) |
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228 jobman_entrypoint(DEFAULT_STATE, chanmock) |
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229 elif args[0] == 'run_default': |
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Correcting bugs after trying to launch on cluster. Image dir must be created after workdir is changed.
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230 setup_workdir() |
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231 mc = MnistCrbm(DEFAULT_STATE) |
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232 mc.train() |
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233 |
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234 |